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Dependency conflicts occur when different Python packages have the same dependency, but depend on different and incompatible versions of that shared package. ‘Dependency hell’ is an apt term for the vexation that can be experienced when trying to resolve dependency conflicts. and also try modern solutions like ActiveState’s Platform

Work with dependency management tools, like Virtualenv, Pyenv, Conda etc.

įor other dependency management issues, read on to learn about how to: If you’re having trouble with dependency conflicts and resolution, try the ActiveState Platform by signing up for a free account.

Dependency Conflict Resolution – when the ActiveState Platform cannot automatically resolve dependencies, it will suggest a manual solution to resolve the conflict.

Dependency Resolution – automatically ensures that all dependencies pulled in by a package are compatible with the rest of your Python environment.

The ActiveState Platform is the only solution that currently supports both: This can be a huge time saver, but resolving dependencies required between all the packages you need can also be a huge time sink since pip doesn’t currently support dependency resolution. You can count on PyPI (the Python Package Index) to provide packages that can help you get started on everything from data manipulation to machine learning to web development, and more. Dependencies are all of the software components required by your project in order for it to work as intended and avoid runtime errors. When managing Python environments, one of the key concerns is dependency management.

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